bytedance/seedream-v5.0-flash/edit

image-to-image

Seedream v5.0 Flash Edit API by ByteDance

bytedance/seedream-v5.0-flash/edit

Edit

Dola-Seedream-5.0-flash image editing from ByteDance's high-speed, cost-optimized model built for instant creation. Supports single- and multi-reference workflows with up to 10 images, precision editing, and transparent-background output - built for latency-sensitive mobile assistant apps, UGC content creation, and bulk-scale content production.

Seedream v5.0 Flash Edit is developed by ByteDance. Atlas Cloud (operated by Atlas Cloud AI LLC) provides access to it and does not own it. All trademarks belong to their respective owners.

INPUT

Prompt *

Images *(0/10)

You can drag and drop a file or click to upload

MAX:10

Size

Output format

Transparent background requires PNG output — set output_format to png to enable it.

OUTPUT

Idle

Your generated images will appear here

Configure your settings and click Run to get started

Your request will cost $0.018 per run. For $10 you can run this model approximately 555 times.

Here's what you can do next:

Image-to-Video Image-to-Image

Parameters

Code Example
import requests
import time

# Step 1: Start image generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "bytedance/seedream-v5.0-flash/edit",  # Required. model name
    "enable_base64_output": False,  # If enabled, the output will be encoded into a BASE64 string instead of a URL
    "prompt": "A beautiful landscape with mountains and lake",  # Required. The positive prompt for the generation
    "size": "2048*2048",  # Output image size in 'WIDTH*HEIGHT' pixels, chosen from the official 2K and 1
    "output_format": "jpeg",  # Output image file format. options: jpeg | png
    "background": "opaque",  # Controls whether the generated image carries an alpha channel. options: opaque | transparent
    "images": [
        "https://example.com/image1.jpg"
    ],  # Required. The images to edit
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] == "completed":
            print("Generated image:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

image_url = check_status()

Install

Install the required package for your language.

pip install requests

Authentication

All API requests require authentication via an API key. You can get your API key from the Atlas Cloud dashboard.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP Headers

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Keep your API key secure

Never expose your API key in client-side code or public repositories. Use environment variables or a backend proxy instead.

Submit a request

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Submit a Request

Submit an asynchronous generation request. The API returns a prediction ID that you can use to check the status and retrieve the result.

POST/api/v1/model/generateImage

Request Body

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "bytedance/seedream-v5.0-flash/edit",
    "prompt": "A beautiful landscape with mountains and lake"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

Response

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

Check Status

Poll the prediction endpoint to check the current status of your request.

GET/api/v1/model/prediction/{prediction_id}

Polling Example

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Status Values

processingThe request is still being processed.

completedGeneration is complete. Outputs are available.

succeededGeneration succeeded. Outputs are available.

failedGeneration failed. Check the error field.

Completed Response

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.png"
    ],
    "metrics": {
      "predict_time": 8.3
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Upload Files

Upload files to Atlas Cloud storage and get a URL you can use in your API requests. Use multipart/form-data to upload.

POST/api/v1/model/uploadMedia

Upload Example

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Response

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Input Schema

The following parameters are accepted in the request body.

Total: 7Required: 3Optional: 4

modelstringrequired

model name

Default: "bytedance/seedream-v5.0-flash/edit"

enable_base64_outputboolean

If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Default: false

promptstringrequired

The positive prompt for the generation. Recommended length: under 600 English words.

sizestring

Output image size in 'WIDTH*HEIGHT' pixels, chosen from the official 2K and 1.5K presets. Every image bills the same flat price regardless of size.

Default: "2048*2048"

2048*20482368*17761776*23682816*15841584*28162496*16641664*24963136*13441536*15361792*13441344*17922048*11521152*20481872*12481248*18722352*1008

output_formatstring

Output image file format. Seedream v5.0 Flash supports both JPEG and PNG output.

Default: "jpeg"

jpegpng

backgroundstring

Controls whether the generated image carries an alpha channel. 'opaque' (default) returns a standard image with an opaque background; 'transparent' returns a PNG whose background is transparent. Transparent mode is only accepted when output_format is 'png' and exactly one input image is supplied, and that image must itself be a PNG carrying an alpha channel — a JPEG (or any format without alpha) is rejected.

Default: "opaque"

opaquetransparent

imagesarray[string]required

The images to edit. Accepts URLs or Base64 data URLs. Up to 10 reference images; input images are free of charge. Supported formats: JPEG, PNG, WEBP, BMP, TIFF, GIF, HEIC, HEIF.

Min items: 1Max items: 10

Example Request Body

{
  "model": "bytedance/seedream-v5.0-flash/edit",
  "enable_base64_output": false,
  "prompt": "A beautiful landscape",
  "size": "2048*2048",
  "output_format": "jpeg",
  "background": "opaque",
  "images": [
    "https://example.com/file.jpg"
  ]
}

Output Schema

The API returns a prediction response with the generated output URLs.

codeinteger

Status code of the call; 200 on success.

messagestring

Status message of the call.

dataobject

The prediction: id, model, status, outputs, urls and created_at. Poll GET /api/v1/model/prediction/{request_id} with data.id until status is completed or failed.

Example Response

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.png"
  ],
  "metrics": {
    "predict_time": 8.3
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integrates 400+ AI models directly into your AI coding assistant. One command to install, then use natural language to generate images, videos, and chat with LLMs.

Supported Clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ supported clients

Install

npx skills add AtlasCloudAI/atlas-cloud-skills

Setup API Key

Get your API key from the Atlas Cloud dashboard and set it as an environment variable.

export ATLASCLOUD_API_KEY="your-api-key-here"

Capabilities

Once installed, you can use natural language in your AI assistant to access all Atlas Cloud models.

Image GenerationGenerate images with models like Nano Banana 2, Z-Image, and more.

Video CreationCreate videos from text or images with Kling, Vidu, Veo, etc.

LLM ChatChat with Qwen, DeepSeek, and other large language models.

Media UploadUpload local files for image editing and image-to-video workflows.

Learn more

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server connects your IDE with 400+ AI models via the Model Context Protocol. Works with any MCP-compatible client.

Supported Clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ supported clients

Install

npx -y atlascloud-mcp

Configuration

Add the following configuration to your IDE's MCP settings file.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Available Tools

atlas_generate_imageGenerate images from text prompts.

atlas_generate_videoCreate videos from text or images.

atlas_chatChat with large language models.

atlas_list_modelsBrowse 400+ available AI models.

atlas_quick_generateOne-step content creation with auto model selection.

atlas_upload_mediaUpload local files for API workflows.

Learn more

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "components": {
    "schemas": {
      "Input": {
        "allOf": [
          {
            "if": {
              "properties": {
                "output_format": {
                  "const": "png"
                }
              },
              "required": [
                "output_format"
              ]
            },
            "else": {
              "properties": {
                "background": {
                  "x-hidden": true,
                  "x-hidden-hint": "Transparent background requires PNG output — set output_format to png to enable it."
                }
              }
            }
          },
          {
            "if": {
              "properties": {
                "images": {
                  "minItems": 2
                }
              },
              "required": [
                "images"
              ]
            },
            "then": {
              "properties": {
                "background": {
                  "x-hidden": true,
                  "x-hidden-hint": "Transparent background requires exactly one input image."
                }
              }
            }
          }
        ],
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "bytedance/seedream-v5.0-flash/edit"
          },
          "enable_base64_output": {
            "default": false,
            "description": "If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.",
            "disabled": true,
            "type": "boolean"
          },
          "prompt": {
            "description": "The positive prompt for the generation. Recommended length: under 600 English words.",
            "minLength": 1,
            "type": "string"
          },
          "size": {
            "default": "2048*2048",
            "description": "Output image size in 'WIDTH*HEIGHT' pixels, chosen from the official 2K and 1.5K presets. Every image bills the same flat price regardless of size.",
            "enum": [
              "2048*2048",
              "2368*1776",
              "1776*2368",
              "2816*1584",
              "1584*2816",
              "2496*1664",
              "1664*2496",
              "3136*1344",
              "1536*1536",
              "1792*1344",
              "1344*1792",
              "2048*1152",
              "1152*2048",
              "1872*1248",
              "1248*1872",
              "2352*1008"
            ],
            "type": "string"
          },
          "output_format": {
            "default": "jpeg",
            "description": "Output image file format. Seedream v5.0 Flash supports both JPEG and PNG output.",
            "enum": [
              "jpeg",
              "png"
            ],
            "type": "string"
          },
          "background": {
            "type": "string",
            "enum": [
              "opaque",
              "transparent"
            ],
            "default": "opaque",
            "description": "Controls whether the generated image carries an alpha channel. 'opaque' (default) returns a standard image with an opaque background; 'transparent' returns a PNG whose background is transparent. Transparent mode is only accepted when output_format is 'png' and exactly one input image is supplied, and that image must itself be a PNG carrying an alpha channel — a JPEG (or any format without alpha) is rejected.",
            "x-ui-component": "select"
          },
          "images": {
            "description": "The images to edit. Accepts URLs or Base64 data URLs. Up to 10 reference images; input images are free of charge. Supported formats: JPEG, PNG, WEBP, BMP, TIFF, GIF, HEIC, HEIF.",
            "items": {
              "type": "string"
            },
            "maxItems": 10,
            "minItems": 1,
            "type": "array"
          }
        },
        "required": [
          "model",
          "prompt",
          "images"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "prompt",
          "images",
          "size",
          "output_format",
          "background",
          "enable_base64_output"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "code": {
            "type": "integer",
            "description": "Status code of the call; 200 on success."
          },
          "message": {
            "type": "string",
            "description": "Status message of the call."
          },
          "data": {
            "type": "object",
            "description": "The prediction: id, model, status, outputs, urls and created_at. Poll GET /api/v1/model/prediction/{request_id} with data.id until status is completed or failed.",
            "allOf": [
              {
                "$ref": "#/components/schemas/PredictionData"
              }
            ]
          }
        }
      },
      "PredictionData": {
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created (e.g., \"2023-04-01T12:34:56.789Z\").",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction, the ID of the prediction to get.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated content (empty when status is not completed).",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  },
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API - bytedance/seedream-v5.0-flash/edit",
    "version": "1.0.0"
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateImage": {
      "post": {
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          }
        },
        "responses": {
          "200": {
            "description": "The request status.",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            }
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "type": "string",
              "description": "Request ID"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "Result of the request.",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            }
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM-Friendly Prompt Template

# bytedance/seedream-v5.0-flash/edit

> Dola-Seedream-5.0-flash image editing from ByteDance's high-speed, cost-optimized model built for instant creation. Supports single- and multi-reference workflows with up to 10 images, precision editing, and transparent-background output - built for latency-sensitive mobile assistant apps, UGC content creation, and bulk-scale content production.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `bytedance/seedream-v5.0-flash/edit`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"bytedance/seedream-v5.0-flash/edit"`

- **`prompt`** (`string`, _required_):
  The positive prompt for the generation. Recommended length: under 600 English words.

- **`images`** (`array[string]`, _required_):
  The images to edit. Accepts URLs or Base64 data URLs. Up to 10 reference images; input images are free of charge. Supported formats: JPEG, PNG, WEBP, BMP, TIFF, GIF, HEIC, HEIF.
  - Min items: 1
  - Max items: 10

- **`size`** (`string`, _optional_):
  Output image size in 'WIDTH*HEIGHT' pixels, chosen from the official 2K and 1.5K presets. Every image bills the same flat price regardless of size.
  - Default: `"2048*2048"`
  - Options: "2048*2048", "2368*1776", "1776*2368", "2816*1584", "1584*2816", "2496*1664", "1664*2496", "3136*1344", "1536*1536", "1792*1344", "1344*1792", "2048*1152", "1152*2048", "1872*1248", "1248*1872", "2352*1008"

- **`output_format`** (`string`, _optional_):
  Output image file format. Seedream v5.0 Flash supports both JPEG and PNG output.
  - Default: `"jpeg"`
  - Options: "jpeg", "png"

- **`background`** (`string`, _optional_):
  Controls whether the generated image carries an alpha channel. 'opaque' (default) returns a standard image with an opaque background; 'transparent' returns a PNG whose background is transparent. Transparent mode is only accepted when output_format is 'png' and exactly one input image is supplied, and that image must itself be a PNG carrying an alpha channel — a JPEG (or any format without alpha) is rejected.
  - Default: `"opaque"`
  - Options: "opaque", "transparent"

- **`enable_base64_output`** (`boolean`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "bytedance/seedream-v5.0-flash/edit",
  "prompt": "",
  "images": [
    ""
  ]
}
```


**Full Example**:

```json
{
  "model": "bytedance/seedream-v5.0-flash/edit",
  "prompt": "",
  "images": [
    ""
  ],
  "size": "2048*2048",
  "output_format": "jpeg",
  "background": "opaque",
  "enable_base64_output": false
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):
  Status code of the call; 200 on success.

- **`message`** (`string`, _optional_):
  Status message of the call.

- **`data`** (`object`, _optional_):
  The prediction: id, model, status, outputs, urls and created_at. Poll GET /api/v1/model/prediction/{request_id} with data.id until status is completed or failed.



**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "bytedance/seedream-v5.0-flash/edit",
  "prompt": "",
  "images": [
    ""
  ],
  "size": "2048*2048",
  "output_format": "jpeg",
  "background": "opaque",
  "enable_base64_output": false
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/bytedance/seedream-v5.0-flash/edit)

Turn the image into a movie poster.

1. Introduction

Seedream 5.0 Flash Edit is the image-editing variant of Seedream 5.0 Flash (Dola-Seedream-5.0-flash), ByteDance's high-speed, cost-optimized member of the Seedream 5.0 family added in September 2026 (upstream model version dola-seedream-5-0-flash-260915). It covers the API model identifier:

bytedance/seedream-v5.0-flash/edit

Supply one to ten reference images and a text instruction, and the model returns a single edited or composed image — typically in 15–20 seconds at 2K. It shares Seedream 5.0 Pro's editing contract — multi-reference fusion, precise interactive edits, and transparent-background output — on a faster inference path (BytePlus ModelArk). ByteDance positions Dola-Seedream-5.0-flash for instant creation: a high-speed, cost-optimized model covering text-to-image generation, single- and multi-reference image workflows, precision editing, and layer decomposition, aimed at latency-sensitive scenarios such as mobile assistant applications, UGC content creation, and bulk-scale content production.

2. Key Features & Innovations

Multi-Reference Composition: Combine up to 10 reference images in one request — place a subject from one image into the scene of another, merge products, characters, and backgrounds — while keeping the untouched parts of the source intact.
Precise Interactive Editing: Target edits by describing locations in natural language or by coordinates, selection boxes, and arrows drawn on the input, for edits that change exactly what was asked.
Transparent-Background Output: With a single PNG input that carries an alpha channel and background: "transparent", the result is returned as a PNG with a transparent background — ready for compositing and sticker or product-cutout workflows.
Pro-Class Resolution Envelope: Output from 921,600 (1280×720) to 4,624,220 total pixels with any aspect ratio from 1:16 to 16:1, including official 2K presets such as 2816×1584 (16:9).
Multilingual Instructions: Edit instructions are understood in Chinese, English, and 14 further languages including Japanese, Korean, Spanish, French, German, and Arabic.

3. Model Architecture & Technical Details

Seedream 5.0 Flash Edit runs on the Seedream 5.0 family's multimodal transformer architecture, with vision encoders reading every reference image and a diffusion-based decoder synthesizing the result on a latency-optimized inference path. Prompt optimization runs in standard mode.

Reference images are accepted as URLs or Base64 data URLs in JPEG, PNG, WEBP, BMP, TIFF, GIF, HEIC, or HEIF format, up to 30MB each, with aspect ratio within [1/16, 16]. Output is always a single image, selected by explicit WIDTH*HEIGHT size (total pixels within [921,600, 4,624,220]) or tier keyword (1K, 1.5K, 2K), in JPEG or PNG. Transparent-background mode requires exactly one input image with an alpha channel and PNG output.

4. Performance Highlights

Model	Developer	Max Reference Images	Transparent Output	Typical Latency (2K)
Seedream 5.0 Flash Edit	ByteDance	10	Yes	15–20 s
Seedream 5.0 Pro Edit	ByteDance	10	Yes	slower
Seedream 5.0 Lite Edit	ByteDance	14	No	—

Public benchmark results for the Flash snapshot are not yet available. In practice it preserves storefronts, lighting, and composition while inserting or restyling the requested elements, at a fraction of Pro's editing latency.

5. Intended Use & Applications

Product & Scene Compositing: Place products or characters from reference shots into new scenes for listings, ads, and social content.
Fast Iterative Retouching: Rapid restyle, relight, weather, and background changes inside interactive editors and mobile assistant apps where each round-trip counts.
UGC Content Creation: Instant photo edits, remixes, and multi-image compositions for user-generated content platforms at bulk scale.
Cutouts and Stickers: Transparent-background PNG output from an alpha-channel input for design assets, stickers, and overlays.
Brand-Consistent Variations: Keep a subject's identity consistent across many edits using multiple references in one request.
Localized Creative Updates: Swap or add on-image text and elements for regional versions of existing visuals.

Seedream v5.0 Flash Edit API by ByteDance

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response

Atlas Cloud Skills

Supported Clients

Install

Setup API Key

Capabilities

MCP Server

Supported Clients

Install

Configuration

Available Tools

API Schema

LLM-Friendly Prompt Template

1. Introduction

2. Key Features & Innovations

3. Model Architecture & Technical Details

4. Performance Highlights

5. Intended Use & Applications

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One API for All Media AI.

INPUT

OUTPUT

Parameters

Code Example

Install

Authentication

HTTP Headers

Submit a request

Submit a Request

Request Body

Response

Check Status

Polling Example

Status Values

Completed Response

Upload Files

Upload Example

Response

Input Schema

Example Request Body

Output Schema

Example Response